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eNchange
View on CRAN: Click
here
Download and install eNchange package within the R console
Install from CRAN:
install.packages("eNchange")
Install from Github:
library("remotes")
install_github("cran/eNchange") Install by package version:
library("remotes")
install_version("eNchange", "1.1") Attach the package and use:
library("eNchange")
Maintained by
Karolos K. Korkas
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-20
Latest Update: 2025-06-24
Description:
Implements a segmentation algorithm for multiple change-point detection in univariate time series using the Ensemble Binary Segmentation of Korkas (2020) .
How to cite:
Karolos K. Korkas (2020). eNchange: Ensemble Methods for Multiple Change-Point Detection. R package version 1.1, https://cran.r-project.org/web/packages/eNchange. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 1.0 (2020-03-20 11:00)
Other packages that cited eNchange R package
View eNchange citation profile
Other R packages that eNchange depends,
imports, suggests or enhances
Complete documentation for eNchange
Functions, R codes and Examples using
the eNchange R package
Some associated functions: BinSeg-methods . EnBinSeg-methods . Z_trans-methods . boot_thresh-methods . eNchange-package . pc_acdsim-methods . pc_hawkessim-methods . simACD-class . simHawkes-class .
Some associated R codes: Aux_functions.R . BinSeg.R . EnBinSeg.R . RcppExports.R . Z_trans.R . boot_thresh.R . pc_acdsim.R . pc_hawkessim.R . simACD.R . simHawkes.R . Full eNchange package functions and examples
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